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Improving Online Handwritten Mathematical Expressions Recognition with Contextual Modeling

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3 Author(s)
Awal, A.-M. ; IRCCyN/IVC, Ecole Polytech. de I''Univ. de Nantes, Nantes, France ; Mouchere, H. ; Viard-Gaudin, C.

We propose in this paper a new contextual modelling method for combining syntactic and structural information for the recognition of online handwritten mathematical expressions. Those models are used to find the most likely combination of segmentation/recognition hypotheses proposed by a 2D segment or. Models are based on structural information concerning the layouts of symbols. They are learned from a mathematical expressions dataset to prevent the use of heuristic rules which are fuzzy by nature. The system is tested with a large base of synthetic expressions and also with a set of real complex expressions.

Published in:
Frontiers in Handwriting Recognition (ICFHR), 2010 International Conference on

Date of Conference: 16-18 Nov. 2010

Page(s):
427 - 432
Print ISBN:
978-1-4244-8353-2
INSPEC Accession Number:
11771869
Conference Location :
Kolkata
Digital Object Identifier :
10.1109/ICFHR.2010.73
Product Type:
Conference Publications

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